柳江红花二线船闸输水系统布置与水力学模型试验研究

红花二线船闸是广西西江黄金水道首批重点建设项目,是提升柳江及西江通航能力、实现西江亿吨黄金水道的重要工程,其闸室规模与三峡船闸一致、工作水头近20 m、输水能量巨大。结合工程特点,选择了闸底长廊道侧支孔输水系统,设计了输水系统具体布置,并提出采用汇合廊道改善单边阀门运行输水流态的措施。通过比尺为1∶30的物理模型试验,对不同阀门运行工况下输水系统水力特性、闸室船舶停泊条件、进出水口水流条件等开展研究,推荐了使水力指标满足规范和设计要求的阀门开启方式。     

蜀山泵站枢纽船闸输水系统水力学模型试验

蜀山泵站枢纽船闸对引江济淮工程航运至关重要,是连通长江与淮河,确保引江济淮航运干线畅通的控制性工程,其闸室规模大、工作水头高、输水能量高,输水过程水力学问题是船闸设计的关键环节。结合工程地质和结构设计,船闸拟采用形式最为简单的闸墙长廊道侧支孔输水系统,输水过程船舶与船闸自身安全能否满足相关要求需要开展细致研究。通过比尺为1∶25的物理模型试验,对其输水过程船舶停泊条件、水力特性及引航道水流条件开展研究。结果表明:在推荐的输水系统布置和阀门开启方式下,各项水力指标均能满足规范和设计要求。     

船舶岸电系统在集装箱码头的应用

靠港船舶岸电系统具有可以减少污染物排放和提高能源利用率的优点,正在我国港口大力推广。为探讨岸电系统在集装箱码头的应用前景,以大窑湾北岸某集装箱码头为例,利用仿真模型核算多种情景下2020年大窑湾北岸集装箱码头船舶使用岸电前后的碳排放量,并分析不同装卸效率对船舶的碳排放的影响。结果表明,集装箱码头使用岸电系统可实现低碳效益,提高装卸效率有利于船舶碳排放的减少,但应考虑提高装卸效率会引起装卸机械碳排放增加。     

景洪水力式升船机机械系统设计

结合景洪升船机的设计,对水力式升船机机械系统各子系统及部件的功能进行论述,对其结构和设计参数进行研究,并给出水力式升船机卷筒及同步系统、浮筒及动滑轮装置、钢丝绳组件和下水式承船厢的主要结构和设计参数。对水力式升船机浮筒的配重进行探讨,特别针对无间隙同步系统、承船厢充压对接密封装置提出新颖的结构,为同类工程设计提供参考。     

FPSO单点系泊系统安装及回接技术

单点系泊系统作为浮式生产储油卸油装置（Floating Production Storage and Offloading,FPSO）的核心组成部分,需在FPSO进入安装现场之前完成安装,随后FPSO进入安装现场进行回接。以我国南海某具体工程项目为背景,全面、系统地介绍FPSO悬链腿单点系泊系统的安装及回接方法,并采用OrcaFlex分析软件对各个施工步骤进行相关的模拟分析。该单点系泊系统的整个安装过程可分为抓地锚安装、下段锚腿铺设、锚腿张紧、上段锚腿铺设、单点浮筒拖航及就位和锚系回接单点浮筒等6个阶段。     

A new approach for improving the performance of freight train timetabling of a single-track railway system

A new approach for improving the performance of freight train timetabling for single-track railways is proposed. Using the idea of a fixed-block signaling system, we develop a matrix representation to express the occupation of inter- and intra-station tracks by trains illustrating the train blocking time diagram in its entirety. Train departure times, dwell times, and unnecessary stopping are adjusted to reduce average train travel time and single train travel time. Conflicts between successive stations and within stations are identified and solved. A fuzzy logic system is further used to adjust the range of train departure times and checks are made to determine whether dwell times and time intervals can be adjusted for passenger and freight trains at congested stations to minimize train waiting times. By combining manual scheduling expertise with the fuzzy inference method, timetable efficiency is significantly improved and becomes more flexible.     

典型航线船舶排放清单及排放特征研究

文章分析了我国典型航线典型船舶排放特征,以船舶自动识别系统数据为基础,收集整理所选研究船舶排放参数,结合船舶实际航行资料,采用动力法估算了秦皇岛港—广州港航线某散货船一个航行周期的排放清单,并分析了靠港、停泊、港内机动、巡航4个船舶状态下的排放特征,绘制了2 km×2 km分辨率的空间排放特征图。结果表明,该典型航线上典型散货船舶一个航行周期排放的SOx、NOx、PM10、PM2.5总量分别为18.88吨、30.87吨、1.85吨和1.69吨。排放源分析表明从在船舶的主机、辅机和锅炉3种排放源中,主机是主要排放源。航行状态上巡航工况排放量最大;船舶排放污染物的空间分析表明,船舶在进出港口区域是污染物排放最密集的区域。     

基于价值函数的城市绿色交通规划评价

为了评价城市绿色交通,建立了城市绿色交通评价体系,包括环保性指标等3个评价项目和道路绿化率等8个评价指标,文章通过案例分析发现,价值函数法适用于城市绿色交通评价。采用专家打分法确定指标权重系数,并对指标进行无量纲化、同趋向化等处理,采用价值函数法计算评价体系得分。     

Understanding members' carsharing (activity) persistency by using econometric model

Carsharing is an innovative travel alternative that has recently experienced considerable growth and become part of sustainable transportation initiatives. Although carsharing is becoming increasingly a popular alternative transportation mode in North America, it is still an under‐researched area. Current research is aimed at better understanding of the behavior of carsharing users. For every member, a two‐stage approach microsimulates the probability of being active in any month using a binary probit model and given that a particular member is active during a month, the probability of that member using the service multiple times using a random utility‐based model. The model is estimated using empirical data from one of the largest carsharing companies in North America. The model estimates reveal that the activity persistency of members is positively linked to previous behaviors for up to 4 months, and that the influence of previous months weakens over time. It also shows that some attributes of the traveler (gender, age, and language spoken at home) impact his or her behaviors. Copyright © 2010 John Wiley & Sons, Ltd.     

A model for the visualization and analysis of elevator traffic

ABSTRACT

Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or modified according to analyses of traffic flow. However, interpretation of traffic flow based solely on numerical data may not be explicit and transparent for EGCS experts as well as for other non-expert building administration. In this study, we present a model for visualization and analysis of elevator traffic. First, we present an alternative approach for traffic analysis which we call route visualization. In the proposed approach, we initially decompose elevator traffic into its component parts and investigate each component independently. Then, using superposition of components we obtain a reconstructed model of overall traffic. This modeling approach provides component-based traffic analysis and representation of routes with intensities through data visualization. In the second part we introduce a multi-dimensional analysis of time parameters in ECGS. This approach provides a comparative analysis of several control algorithms such as dispatch or park algorithms for different combinations of traffic components.